Computing Statistics under Interval and Fuzzy Uncertainty

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In many practical situations, we are interested in statistics characterizing a population of objects: e.g. in the mean height of people from a certain area.

 

Most algorithms for estimating such statistics assume that the sample values are exact. In practice, sample values come from measurements, and measurements are never absolutely accurate. Sometimes, we know the exact probability distribution of...

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In many practical situations, we are interested in statistics characterizing a population of objects: e.g. in the mean height of people from a certain area.

 

Most algorithms for estimating such statistics assume that the sample values are exact. In practice, sample values come from measurements, and measurements are never absolutely accurate. Sometimes, we know the exact probability distribution of...

Read more
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  • Formats: pdf
  • ISBN: 9783642249051
  • Publication Date: 17 Nov 2011
  • Publisher: Springer Berlin Heidelberg
  • Product language: English
  • Drm Setting: DRM